Računalniško generirana simulacija rokopisa z alternacijo znakov

Mahkovic, Mihael Aleksander (author), Možina, Klementina (mentor)

Področje raziskovanja magistrskega dela je bila digitalizacija človeškega rokopisa s poudarkom na oblikovanju več oblikovnih različic posameznega znaka. Za namen digitalizacije je bil izbran rokopis Eve Mahkovic, dramaturginje, prevajalke in avtorice več dramskih del. Zaradi boljšega razumevanja oblik črk smo ugotavljali razvoj latinične pisave in rokopisa posameznika. V tipografiji so digitalizirane rokopisne pisave pogost pojav. Ker pa so v veliki meri izdelane z eno oblikovno različico za posamezen znak, ne izpolnjujejo glavne lastnosti rokopisa; v njem namreč znak, ki se večkrat ponovi, nikoli nima povsem identične oblike. Z razvojem zapisa pisave OpenType in njegove zmožnosti zapisovanja funkcij, ki jim sledi procesor besedila, so se na tržišču začele pojavljati t. i. pametne pisave, ki omogočajo raznovrstno paleto različnih uporab. Pregled pametnih pisav na tržišču nam je orisal možnosti, ki jih zapis omogoča, ter nas spodbudil k raziskovanju strukture funkcije, ki bi najbolje ustrezala zadani nalogi. Od avtorice rokopisa smo pridobili več strani vzorčnega besedila, ki nam je služilo za osnovo pri oblikovanju posameznih znakov digitalizacije rokopisa. Oblikovanje in izbor števila različic posameznega znaka sta potekala sočasno z načrtovanjem strukture funkcije zapisa pisave OpenType, ki omogoča izmenjavo med oblikovnimi različicami posameznih znakov. Končni rezultat je pisava eva, ki vsebuje 1.243 znakov, oblikovno posnema originalni rokopis in s pomočjo zapisane funkcije zapisa pisave OpenType izmenjuje oblikovne različice posameznih črk brez posredovanja uporabnika.

• Language: Slovenian
• Keywords: pisava, rokopis, OpenType, znak
• Work type: Bachelor thesis/paper
• Organization: NTF - Faculty of Natural Sciences and Engineering
• Year: 2017
• PID: 20.500.12556/RUL-97196
• Publication date in RUL: 21.10.2017

Secondary language

• Language: English
• Title: Computer generated handwriting simulation based on alternation of characters

Abstract

The master’s thesis’ area of research is digitalisation of a human manuscript with an emphasis on designing several variations of a single individual letter. The chosen font is the manuscript of dramaturg and translator Eva Mahkovic. For a better understanding of letter-design the development of Roman script and of an individual human manuscript were researched. In typography, human manuscript digitalisation is a common phenomenon. However, as the digitalisation is usually designed with a single variation per letter, it does not possess the main characteristic of a human manuscript, where a single letter may be represented by several variations. The development of OpenType font format and its function-writing ability, which the text processor is following contributed to the development of new smart fonts with wide usage options. Our research into commercially available smart fonts has shown abilities of the OpenType font format and encouraged us to research the structure of the function best suited for our task. Several pages of a sample manuscript represented the basis for the formation off individual letters of the digitalised manuscript. Letter formation and choosing an appropriate number of a single letter variations has been a parallel process to planning a structure of an OpenType function that would enable alternation among several variations of single individual letters. The result is the eva font: it includes 1243 characters, it is designed as an imitation of the original manuscript and (with the use of OpenType functions) is able to alternate among several variations of single individual letters without the user’s intervention.

• Keywords: typeface, handwritting, OpenType, glyph